Machine Learning Intern

As a Machine Learning Intern at our company, you will have the opportunity to gain hands-on experience in real-world machine learning development, model building, data processing, and deployment workflows. Your responsibilities will include: - Performing data cleaning, feature engineering, exploratory data analysis, and model validation. - Developing, training, testing, and deploying ML and predictive models using industry-standard tools and frameworks. - Collaborating with the team to ensure model accuracy, reliability, and scalability. - Assisting in optimizing ML workflows, pipelines, and automation processes. - Assisting in documenting experiments, results, and deployment procedures. - Staying updated with the latest trends, techniques, and best practices in machine learning and AI. Qualifications required for this role include: - Bachelors in Computer Science, Data Science, AI/ML, or related fields. - Good understanding of machine learning fundamentals, algorithms, and statistical concepts. - Hands-on experience with Python, NumPy, Pandas, Scikit-learn, or similar ML libraries. - Basic knowledge of data preprocessing, model training, evaluation metrics, and visualization. - Must have hands-on experience with either TensorFlow, Keras, or PyTorch. - Understanding of version control (Git) and Jupyter Notebooks. - Strong analytical, problem-solving, and communication skills. - Eagerness to learn, adapt, and contribute in a fast-paced environment. Preferred skills that would be good to have include: - Understanding of MLOps concepts and tools. - Knowledge of NLP, Computer Vision, or Deep Learning. - Exposure to cloud platforms like AWS, Azure, or Google Cloud. - Experience with ML model deployment using Flask, FastAPI, or similar frameworks. If you are passionate about machine learning, have the required qualifications and skills, and are eager to learn and contribute in a fast-paced environment, we encourage you to apply for this internship opportunity.,